Title :
Diagnosis System Based on Rough Sets Analysis
Author :
Watada, Junzo ; Yaakob, Shamshul Bahar
Author_Institution :
Grad. Sch. of Inf. Production Syst., Waseda Univ., Kitakyushu, Japan
Abstract :
Nowadays, power systems play an important role in the whole electric industry. Failures of such systems should result in serious social and economical damages. Therefore, the power systems should be highly reliable. This paper presents the method to build a new type of failure diagnosis system based on rough set theory. The testing data of power systems for their failure conditions are based on experts´ evaluations with uncertainty, especially little knowledge and human experiences are available on power system failure diagnosis. The rough set theory plays a vital role in handling them.
Keywords :
expert systems; failure analysis; fault diagnosis; power engineering computing; power system faults; rough set theory; diagnosis system; power system failure diagnosis; rough set theory; Approximation methods; Expert systems; Maintenance engineering; Power systems; Rough sets; expert system; failure diagnosis; power system; rough set;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
DOI :
10.1109/ICGEC.2010.20
